Word Frequency List 60000 Englishxlsx Exclusive File

| List Size | Coverage | User Level | Use Case | | :--- | :--- | :--- | :--- | | | 95% general text | B2 (Upper Intermediate) | Travel, basic work emails, movies. | | 60,000 | 98.5% all texts | C2 (Mastery) | University in a foreign country, literary analysis, technical writing. | | 100,000+ | 99% + diminishing returns | Linguist | Obsolete words, dialect research. |

: In Google, try: "COCA 60k" filetype:xlsx "word frequency list" 60000 excel SUBTLEX-US excel download

This is the secret sauce. A word might have a high raw frequency but only appear in one specific text (e.g., a medical journal). Dispersion measures how evenly the word is spread across the corpus. An exclusive list filters out low-dispersion words, ensuring you learn widely useful vocabulary. word frequency list 60000 englishxlsx exclusive

import pandas as pd # Load the exclusive 60k frequency dataset df = pd.read_excel('word_frequency_list_60000_english.xlsx') # Filter for highly distributed academic nouns in the top 20,000 words filtered_lexicon = df[ (df['Rank'] <= 20000) & (df['PoS'] == 'noun') & (df['Dispersion'] >= 0.75) ] # Export to a production-ready JSON dictionary filtered_lexicon.to_json('academic_nouns.json', orient='records') Use code with caution. How to Evaluate a Premium Frequency List

: The exact number of times the word appears within the master source corpus. | List Size | Coverage | User Level

Are you looking to (like COCA or Google Books data), or do you need help generating a custom subset of words?

In linguistics, word frequency lists are derived from a "corpus"—a massive collection of real-world texts spanning books, web pages, academic papers, TV scripts, and spoken transcripts. | : In Google, try: "COCA 60k" filetype:xlsx

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Train algorithms to recognize common versus rare words for better sentiment analysis and text prediction.